The great debate of data quality vs. data observability

Olga Maydanchik, AVP, Metadata Architecture, Enterprise Data Management @ Voya Financial

Raj Joseph, Founder & CEO @ DQ Labs

You are often left with whether to proactively observe the health of data stacks for anomalies before they can affect the downstream applications or drive business decisions by identifying fit for use. Is it one or the other, or is both needed? Join us to listen in the debate between two experts in this field to see how organizations can use these capabilities for better business outcomes from the eyes of the practitioner.

Where & when?

Data Stack Summit 2023 was held virtually on April 19, 2023.

What is the cost to attend the virtual sessions?

Data Stack Summit is always free and open for all to attend

What is Data Stack Summit?

Finding ways to efficiently conquer the modern data stack can become infinitely more possible when we’re able to gather together collaboratively as a community and discuss the tools and capabilities desired by future-forward organizations. 

Hear real-world perspectives from long-time data visionaries, data engineers, data and cloud architects, DataOps and DevOps practitioners as they talk through topics like the building blocks of the modern data platform, open source considerations, best practices for impactful data operations, migrations, data observability, and tuning data pipelines for performance at scale.

Who comes to Data Stack Summit?

Data and cloud architects, data engineers, DevOps practitioners and managers, data and ITOps leaders

Join us for talks around things like:
  • Building blocks of the modern data platform
  • Implementing the modern data platform using open source
  • Deploying the modern data platform using K8s
  • Best practices for data team operations
  • Migrations to modern data platforms
  • Optimizing high-performance big data for future-forward organizations
Interested in speaking or sponsoring the next Data Stack Summit?

Please reach out to astronaut@solutionmonday.com.

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